stacks-faker

Generate randomized test data for TypeScript applications using ts-mocker.

2|Updated Jul 8, 2026
One-click install
npx skills add https://github.com/bughq/bughq --skill stacks-faker-bughq
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stacks-faker
Source: https://github.com/bughq/bughq/tree/main/.claude/skills/stacks-faker
Command: npx skills add https://github.com/bughq/bughq --skill stacks-faker-bughq

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the challenge of populating development and testing environments with realistic, randomized data, ensuring your application behaves correctly under varied conditions without manual entry.

Core Features & Use Cases

  • Data Generation: Provides a comprehensive suite of generators for personal info, locations, companies, and custom vehicle data.
  • Seeder Integration: Seamlessly integrates with Stacks model factories to automate database seeding with smart default inference.
  • Use Case: When building a new feature, use this Skill to instantly generate 100 unique user profiles, complete with valid emails, addresses, and vehicle details, to stress-test your UI and database queries.

Quick Start

Use the stacks-faker skill to generate a list of ten fake user records with names and email addresses for the current database seeder.

Frequently Asked Questions about stacks-faker

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate realistic test data for TypeScript applications?

To generate realistic test data for TypeScript applications, use this Skill to create randomized mock entities like users, companies, and vehicles, ensuring your development environment behaves correctly under varied conditions without manual data entry.

How do I seed a database with mock data in a Stacks framework app?

Seed a database with mock data by integrating this Skill with the Stacks framework database seeder. It seamlessly connects to Stacks model factories to automate database population with smart default inference.

What types of mock entities can I generate for stress-testing UI and database queries?

You can generate mock entities for stress-testing UI and database queries, including personal info, locations, companies, and custom vehicle data. This allows you to instantly populate unique user profiles with valid emails and addresses.

Does this data generation tool require any external dependencies?

No external dependencies are required to use this data generation tool. It operates as a self-contained wrapper around ts-mocker to provide a consistent API for randomized data generation tasks.

Can I use model factories to automate database seeding with smart default inference?

Yes, you can use Stacks model factories to automate database seeding with smart default inference. The Skill integrates directly with these factories to populate your development environment intelligently.

Why use randomized data seeding instead of manual entry for application testing?

Randomized data seeding is used instead of manual entry to ensure your application behaves correctly under varied conditions. It instantly generates hundreds of unique, realistic records to thoroughly stress-test your UI and database queries.